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Funded Projects for Artificial Intelligence, Machine Learning, and Deep Learning

Grant Number Project Title Principal Investigator Institution
1-F31-EB035931-01A1 Interpretable Real-Time Surgical Skill Assessment Via Optical Neuroimaging Condell Eastmond Rensselaer Polytechnic Institute
5-R21-EB033455-03 Knowledge-informed Deep Learning for Apnea Detection with Limited Annotations Xiaochen Xian University of Florida
1-R21-EB030294-01A1 Machine learning approach to non-invasive MRI-based blood oximetry Juliet Varghese Ohio State University
5-R21-EB030762-02 Machine Learning-Based Adaptation of Data Sampling and Reconstruction for Efficient Dynamic MRI Saiprasad Ravishankar Michigan State University
4-R00-EB033857-03 Machine Learning-enabled Classification of Extracellular Vesicles Using Nanoplasmonic Microfluidics Colin Hisey Northwestern University
5-R01-EB029944-04 MRI and Deep Learning for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants Lili He Cincinnati Childrens Hosp Med Ctr
5-K25-EB035166-02 New Tools for Enhancing Cerebral Angiography: From Planning to Navigation Nazim Haouchine Brigham And Women'S Hospital
5-R01-EB031032-04 Non-invasive automated wound analysis via deep learning neural networks Kyle Quinn University of Arkansas at Fayetteville
5-R01-EB035394-02 Optimizing Mobile Photon-Counting CT Image Quality via Deep Learning for Neuro Intensive Care Unit Dufan Wu Massachusetts General Hospital
5-R01-EB022573-08 Personalized Functional Network Modeling to Characterize and Predict Psychopathology in Youth Yong Fan University of Pennsylvania